Abhinav Adduri
@abhinadduri
Machine Learning Research Scientist @ArcInstitute. Computer Science Ph.D. @CarnegieMellon.
what image model is the best for making edits for presentations :( 4o and gemini both fail to draw a 1:1 mapping of arrows

Following the amazing talk today by Emma Dann we are excited to host @yusufroohani of the @arcinstitute for a special seminar this Thursday @ 10AM, presenting the efforts towards a virtual cell platform🔮
In 1h we discuss "Predicting cellular responses to perturbation across diverse contexts with State" from @arcinstitute in the reading group with the author @abhinadduri! biorxiv.org/content/10.110… Join us on zoom at 9am PT / 12pm ET: portal.valencelabs.com/starklyspeaking
We're excited to introduce our new work on mature mRNA property prediction, co-first authored with the amazing @ianshi3 and @Taykhoom_Dalal. We introduce mRNABench to standardize evaluation and present a study on building more efficient RNA foundation models. 🧵
We're excited to release 𝐦𝐑𝐍𝐀𝐁𝐞𝐧𝐜𝐡, a new benchmark suite for mRNA biology containing 10 diverse datasets with 59 prediction tasks, evaluating 18 foundation model families. Paper: biorxiv.org/content/10.110… GitHub: github.com/morrislab/mRNA… Blog: blank.bio/post/mrnabench
Our Virtual Cell Challenge commentary is one of the most read @CellCellPress articles for the last month, alongside Weinberg's classic on the hallmarks of cancer
We updated the State Embedding 600M checkpoint on the @ArcInstitute Hugging Face This model was trained with 4x FLOPs compared to the preprint model. It achieves significantly lower val/loss and does better on internal evals - would recommend using this over the 4 epoch one for…

This is one of the core questions I tried to answer in my recent essay on virtual cells. If we are still far from modeling E. coli, what explains the jump right to mammalian cells? I think there are two components to the answer. First, researchers like have made a lot more…
Feels like when people talk about virtual cells they’re implicitly referring to human cells. Show me we can model metabolic perturbations in a yeast cell — scratch that, a bacterial cell! — and then I’ll pay attention to attempts to do the same in human cells. That’s why…
CASP is getting cut by NIH... 😢 (Anyone with extra funds wanna help support perhaps the most important competition of the century?) science.org/content/articl…
So about a month ago, Percy posted a version of this plot of our Marin 32B pretraining run. We got a lot of feedback, both public and private, that the spikes were bad. (This is a thread about how we fixed the spikes. Bear with me. )
Marin 32B training crossed 1.5 trillion tokens today...